A. Selvitella

发表

fMRI-Based Machine Learning Analysis of Neural Substrates of Pediatric Anxiety: Temporal Pole and Emotional Face-Responses.

R. Greiner, A. Greenshaw, Muhammad Yousefnezhad, 2020 .

Distribution of points on spherical objects and applications

A. Selvitella, 2013 .

Qualitative properties of stationary solutions of the NLS on the Hyperbolic space without and with external potentials

A. Selvitella, 2019, Communications on Pure & Applied Analysis.

On geometric probability distributions on the torus with applications to molecular biology

A. Selvitella, 2019, Electronic Journal of Statistics.

Nondegeneracy of the ground state for quasilinear Schrödinger equations

A. Selvitella, 2014, Calculus of Variations and Partial Differential Equations.

Some Contributions to Distribution Theory and Applications

Alessandro Selvitella, A. Selvitella, 2017 .

The ubiquity of the Simpson’s Paradox

A. Selvitella, 2017 .

Individualized identification of first-episode bipolar disorder using machine learning and cognitive tests.

Tao Li, A. Greenshaw, J. Sui, 2020, Journal of affective disorders.

Predicting pediatric anxiety from the temporal pole using neural responses to emotional faces

A. Greenshaw, Muhammad Yousefnezhad, Bo Cao, 2021, Scientific Reports.

Semiclassical evolution of two rotating solitons for the Nonlinear Schrödinger Equation with electric potential

A. Selvitella, 2010, Advances in Differential Equations.

Uniqueness and nondegeneracy of the ground state for a quasilinear Schrödinger equation with a small parameter

A. Selvitella, 2011 .

Asymptotic evolution for the semiclassical nonlinear Schrödinger equation in presence of electric and magnetic fields

A. Selvitella, 2008 .

A Rosetta Stone for information theory and differential equations

Alessandro Selvitella, A. Selvitella, 2018, Communications in Advanced Mathematical Sciences.

The Maximal Strichartz Family of Gaussian Distributions: Fisher Information, Index of Dispersion, and Stochastic Ordering

A. Selvitella, 2016 .

Refining evidence-based retinopathy of prematurity screening guidelines: The SCREENROP study.

F. Farrokhyar, Shoo K. Lee, S. Shivananda, 2019, Paediatrics & child health.

Statistical Inference, Learning and Models in Big Data pdf

Ribana Roscher, Alexander G. Schwing, Roger B. Grosse, 2015, ArXiv.

A Spatio-Temporal Investigation of the Growth Rate of COVID-19 Incidents in Ohio, USA, Early in the Pandemic

K. Foster, A. Selvitella, Liam Carolan, 2021, The Ohio Journal of Science.

Differential power of placebo across major psychiatric disorders: a preliminary meta-analysis and machine learning study

A. Greenshaw, S. Dursun, I. Passos, 2021, Scientific Reports.

On the relationship between COVID-19 reported fatalities early in the pandemic and national socio-economic status predating the pandemic

K. Foster, A. Selvitella, 2021, AIMS public health.

Shared Space Transfer Learning for analyzing multi-site fMRI data pdf

Muhammad Yousefnezhad, Russell Greiner, Daoqiang Zhang, 2020, NeurIPS.

Deep Representational Similarity Learning for Analyzing Neural Signatures in Task-based fMRI Dataset

Muhammad Yousefnezhad, Daoqiang Zhang, Jeffrey Sawalha, 2020, Neuroinformatics.

On the Effects of Type II Left Censoring in Stable and Chaotic Compartmental Models for Infectious Diseases: Do Small Sample Estimates Survive Censoring?

K. Foster, A. Selvitella, 2024, Proceedings of the AAAI Symposium Series.

A HIGHER - ORDER T AYLOR EXPANSION OF THE INI - TIAL TRAJECTORY OF COVID-19 CASES AND DEATHS VIA B AYESIAN HIERARCHICAL MODELS : A TOY PROB - LEM AND POSSIBLE PUBLIC HEALTH INSIGHTS .

K. Foster, A. Selvitella, 2022 .

Learning the locomotion behaviour of lizards transfers across environments

Alessandro Selvitella, K. Foster, A. Selvitella, 2020 .

On the variability and dependence of human leg stiffness across strides during running and some consequences for the analysis of locomotion data

K. Foster, A. Selvitella, 2023, Royal Society Open Science.